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智能交通系统中的城市交通数据可视化。

Visualization of Urban Mobility Data from Intelligent Transportation Systems.

机构信息

INESC TEC, Faculty of Engineering, University of Porto, Porto 4200-465, Portugal.

出版信息

Sensors (Basel). 2019 Jan 15;19(2):332. doi: 10.3390/s19020332.

DOI:10.3390/s19020332
PMID:30650641
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6359619/
Abstract

Intelligent Transportation Systems are an important enabler for the smart cities paradigm. Currently, such systems generate massive amounts of granular data that can be analyzed to better understand people's dynamics. To address the multivariate nature of spatiotemporal urban mobility data, researchers and practitioners have developed an extensive body of research and interactive visualization tools. Data visualization provides multiple perspectives on data and supports the analytical tasks of domain experts. This article surveys related studies to analyze which topics of urban mobility were addressed and their related phenomena, and to identify the adopted visualization techniques and sensors data types. We highlight research opportunities based on our findings.

摘要

智能交通系统是智能城市范例的重要推动因素。目前，此类系统生成大量的细粒度数据，可对这些数据进行分析，以更好地了解人们的动态。为了解决时空城市流动性数据的多变量性质，研究人员和从业者已经开发出大量的研究和交互式可视化工具。数据可视化提供了数据的多个视角，并支持领域专家的分析任务。本文调查了相关研究，以分析城市流动性的哪些主题得到了解决及其相关现象，并确定所采用的可视化技术和传感器数据类型。我们根据研究结果突出了研究机会。

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